• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

How Network Coding Benefits Converge-Cast in Wireless Sensor Networks

Vol. 7, No. 5, May 30, 2013
10.3837/tiis.2013.05.014, Download Paper (Free):

Abstract

Network coding is one of the most promising techniques to increase the reliability and reduce the energy consumption for wireless sensor networks (WSNs). However, most of the previous works mainly focus on the network coding for multicast or unicast in WSNs, in spite of the fact that the converge-cast is the most common communication style in WSNs. In this paper, we investigate, for the first time as far as we know, the feasibility of acquiring network coding benefits in converge-cast, and we present that with the ubiquitous convergent structures self-organized during converge-casting in the network, the reliability benefits can be obtained by applying linear network coding. We theoretically derive the network coding benefits obtained in a general convergent structure, and simulations are conducted to validate our theoretical analysis. The results reveal that the network coding can improve the network reliability considerably, and hence reduce number of retransmissions and improve energy-efficiency.


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Cite this article

[IEEE Style]
Z. Tang, H. Wang, Q. Hu, L. Hai, "How Network Coding Benefits Converge-Cast in Wireless Sensor Networks," KSII Transactions on Internet and Information Systems, vol. 7, no. 5, pp. 1180-1197, 2013. DOI: 10.3837/tiis.2013.05.014.

[ACM Style]
Zhenzhou Tang, Hongyu Wang, Qian Hu, and Long Hai. 2013. How Network Coding Benefits Converge-Cast in Wireless Sensor Networks. KSII Transactions on Internet and Information Systems, 7, 5, (2013), 1180-1197. DOI: 10.3837/tiis.2013.05.014.

[BibTeX Style]
@article{tiis:20307, title="How Network Coding Benefits Converge-Cast in Wireless Sensor Networks", author="Zhenzhou Tang and Hongyu Wang and Qian Hu and Long Hai and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2013.05.014}, volume={7}, number={5}, year="2013", month={May}, pages={1180-1197}}